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ARTIFICIAL INTELLIGENCE FINAL EXAM GUIDE 2025 |MOST COMMON QUESTIONS WITH CORRECTLY VERIFIED ANSWERS|ALREADY A+ GRADED|GUARANTEED PASS

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ARTIFICIAL INTELLIGENCE FINAL EXAM GUIDE 2025 |MOST COMMON QUESTIONS WITH CORRECTLY VERIFIED ANSWERS|ALREADY A+ GRADED|GUARANTEED PASS

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ARTIFICIAL INTELLIGENCE FINAL EXAM GUIDE
2025
|MOST COMMON QUESTIONS WITH CORRECTLY
VERIFIED ANSWERS|ALREADY A+
GRADED|GUARANTEED PASS
Decision Support System (DSS) - User actively involved with the system.

The user must understand problem situation and what needs to be done.

The user makes the ultimate decision/choice.

Artificial Intelligence - User not as actively involved because all of the expertise is

The system makes the ultimate decision/choice.

Expert Systems - that imitate the reasoning process of experts. They consist of a
knowledge base and a set of rules for applying that knowledge base to a particular situation.
Most common form of AI in business.

Expert Systems - Programming is in the form of rules, if-then statements, and reasons

you provide the facts, it solves the problem.

recommendation from (this systems) is a probability or other type of "score"

Used as diagnostic and prescriptive.

Decision Support System - guides you, but you must reason through the problem.

Example of Medical Expert System for lung cancer treatment - If lung capacity is high

AND X-ray results are positive

AND patient has fever

AND patient has coughing

THEN surgery is necessary.

, If tumor has spread

OR contraindications to surgery exist

THEN surgery cannot be performed

Expert Systems - are computerized advisory programs that imitate the reasoning process
of experts. They consist of a knowledge base and a set of rules for applying that knowledge base
to a particular situation.

Expert Systems - apply rules to solve a problem.

The system uses IF statements and user answers to questions in order to reason just like a
human does.

It takes something the users doesn't know and applies rules to indicate what to do.

Expert Systems - ask a series of questions to determine what is "known."

Expert Systems can do - Can handle massive amounts of information and they can
provide new information


Can draw conclusions
from complex relationships



Can explain their reasoning or suggested decisions

Expert Systems can do - Provide consistency in decision making.



Improve customer service.



Reduce errors and costs.



Provide portable knowledge

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